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Storage Economics & Market Payback

How a battery earns · NPV / IRR / payback per market · $/MWh-delivered (LCOS) vs LFP · target-market prioritisation

How a battery earns — revenue streams & where WiS bids

A grid battery earns from up to four stacked sources: energy arbitrage (buy cheap, sell peak), balancing services (paid for standing ready to stabilise the grid), capacity contracts (paid for guaranteed availability, often 15-yr), and behind-the-meter savings (cutting a factory's peak demand charges). Response time decides who can bid: sub-second products (FCR, FFR, RegD) are Li-ion territory and we don't chase them; the 5–15-minute products and capacity contracts are where the aqueous battery earns. Figures: annual revenue per 1 MW at 80% capture, 2024 prices.

Revenue streamWhat it is Response required2024 priceRevenue / MW·yrWiS fit

Same 1 MW battery, four strategies — stacking transforms the economics (annual revenue, k)

Where it earns best: US ERCOT ECRS — payback 2.8 yr (highest-margin WiS-fit product). Best in EU: Germany aFRR + arbitrage — 3.1 yr. Most bankable: Polish capacity market — a 15-year indexed contract covers the majority of revenue with an investment-grade counterparty, which is what project financiers underwrite. Full NPV / IRR / payback per market in the table below.

Per-market profitability — NPV / IRR / payback (8-market model)

Base case: 1 MW / 1 MWh · 20 years · WACC 8% · CAPEX ~$250/kWh (conservative near-term basis — the at-scale target is $120/kWh, so every payback below has headroom). Revenue = stacked strategy realistically available to a 5-min-class aqueous battery. Sizing note: WiS systems are power/energy-decoupled — slow ~8 h charge, fast discharge, so power:capacity is never a fixed 1:1; the 1 MW / 1 MWh base case is kept only for like-for-like comparison with Li-ion benchmarks. Duration-heavy WiS variants get cheaper per kWh, because the stack is sized by discharge power and extra energy is marginal electrolyte. * AU / NY rows use the interactive calculator further down the page (20-yr horizon, preset system sizes). The revenue-stream table above shows each product's ceiling at 80% capture; this model applies realistic capture, derating and competition per market — hence lower figures for the same product.

MarketStrategy (WiS-fit stack) Annual revCAPEXNPV (20 yr)IRRPaybackFit

Payback by market — WiS-fit stacked strategies (years)

Why revenue stacking favours WiS — the cycle budget. Stacked merchant operation (arbitrage + aFRR/ECRS + capacity obligations) runs ~1.5–2 equivalent cycles/day ≈ 11,000–14,600 cycles over 20 years. That sits inside the WiS design budget (12,000–25,000) but is ~2× LFP's 6,000–8,000 — at stacked duty LFP needs a full mid-life replacement every ~9–14 years, which the LCOS table above prices in and which stacking economics rarely survive. The strategies marked reference are shown for honesty: FCR / FFR products (<30 s / <250 ms response) are Li-ion territory and we do not bid there; our stack lives in the 5–15-minute products (aFRR, mFRR, ECRS) and capacity contracts, where response time does not disqualify the static aqueous battery and where cycle budget decides the 20-year economics.

Max viable CAPEX per strategy (IRR ≥ 15%)

The CAPEX ceiling at which each strategy still clears a 15% IRR — read against the WiS cost ladder (today ~$450/kWh low-volume lab · Stage B pilot ~$300 · at-scale target $120; see Financials).

Market / strategyMax CAPEX for IRR ≥15%Comment

💰 Earnings & Payback Calculator — configurable, multi-technology

Size a system, pick a market, and compare how much each storage technology earns — net revenue, payback, NPV and LCOS. Tick which technologies to compare; every parameter is editable. Power and energy are decoupled: you sell the discharge power; charging is deliberately slow. The WiS design asymmetry is ~5×: a 1 MWh unit charges at ~100 kW (≈10 h) and discharges at up to ~500 kW — slow charge costs nothing, since charge and discharge use the same cell area, and the stack is sized by discharge. Keep charge time ≥ discharge duration to stay WiS-representative; the model warns if charging would need more power than discharging.

CompareTechnologyCAPEX $/kWhRTE %Cycle lifeDoD %OPEX $/kWh-yrDeg %/yr

Cumulative net cashflow ($)

NPV by technology ($, chosen horizon)

TechnologyNet revenue / yrPaybackNPV (horizon)LCOS $/MWhReplacements

20-Year LCOS — $/MWh delivered vs LFP

Cost component ($/MWh unless noted) LFP · China turnkeyLFP · EU/US installed (non-China)WiS · 10h (LDES)

Total LCOS ($/MWh delivered)

Honest read of this table: China-turnkey LFP is — and will remain — cheaper upfront, and wins generic grid-charged LCOS ($76 vs our $88). We don't pitch against that. The WiS case is the buyer who can't or won't buy China supply (EU/US tariffs, IRA domestic content, CRMA — there we win outright: $88 vs $101 grid-charged, $42 vs $68 free-charge), plus free/curtailed charging, >6–8 h duration, high cycle duty (stacking exhausts LFP's 6–8k-cycle budget mid-life) and safety-constrained siting (indoor, urban, insurance). Note on $/kWh pricing: WiS pricing is duration-dependent — the stack scales with discharge power, the electrolyte with energy, so the quoted $120/kWh assumes ~10 h; longer duration gets cheaper per kWh while Li-ion's $/kWh stays flat. Slow ~8 h charging needs no extra stack — charge and discharge use the same cell area, and the fast-discharge asymmetry is a design feature, not a cost adder.
How we defend a lower RTE and a higher price per kWh — the arithmetic, not a slogan. Our RTE penalty is a linear function of the charging price: LCOSWiS = $42 + p÷0.65 vs LCOSLFP·EU/US = $68 + p÷0.9. The $26 hardware advantage (no augmentation, 100% DoD, no membrane) shrinks by $0.43 for every $1/MWh of charging price — break-even at ≈$61/MWh: charge @ $0 → WiS $42 vs $68 (−$26) · @ $15 → $65 vs $85 (−$20) · @ $30 → $88 vs $101 (−$13) · @ $45 → $111 vs $118 (−$7) · @ $61 → parity And LDES duty by construction charges in the cheap trough: the slow ~8–10 h charge sits exactly across the midday solar/overnight wind window ($0–30/MWh, often negative — DE curtails ~19 TWh/yr), because the asymmetric design sizes the stack by discharge power (what you sell), not charge power. Slow charging costs nothing in hardware — and behind the meter it cuts the import-power peak (0.4 MW over 10 h instead of 2 MW over 2 h), which directly reduces demand charges. High RTE matters when you buy expensive energy fast; our segments don't.

Why cycle life = profitability — hardware CAPEX per MWh delivered over life ($/MWh)

The cheapest battery per kWh installed is not the cheapest per kWh delivered. Cycle life divides CAPEX: every extra cycle spreads the same hardware over more energy sold. At its design budget WiS hardware costs $5–10 per MWh delivered over life — below even China-turnkey LFP ($11–19), and 3–4× below EU/US-installed LFP ($21–37) — despite a higher price per kWh installed. This is the engine of the payback numbers above: the more cycles a strategy demands (stacking, daily peak-shaving), the wider this gap gets, because LFP's 6–8k budget runs out and forces replacement while WiS keeps amortising the same stack.

Technology comparison (10-hour system, 2025 baseline)

MetricWiS Zn–MnO₂ (membrane-free)Li-ion (LFP)Vanadium (VRFB)Iron flow

Who wins where — honest verdict by scenario

No storage chemistry wins everywhere. This is the map an investor's own diligence would produce — we show it first: where WiS wins, where the fight is winnable, and where we deliberately don't bid.

ScenarioWinnerRunner-up WiS verdictWhy

How storage earns — economics & payback by use-case

Use-caseRevenue driver Value / spreadCycles/yrPaybackFit

Indicative payback (years) — recommended use-cases

Business models — how storage is sold, and where WiS enters vs LFP

Revenue streams say what a battery earns; the business model says who owns the asset, who carries the technology risk, and how we get paid. A new chemistry cannot enter where LFP is already bankable — it enters through models that monetise WiS's two structural edges: the cycle budget (12–25k design vs LFP's 6–8k — service and tolling contracts can cycle hard without warranty pain) and zero-fire siting (indoor / urban / insurance — where LFP is excluded by fire code).

Business modelHow it earns Who carries technology riskWiS fit — why How LFP plays itRole
Sequencing: Stage B pilots sell as shared savings / storage-as-a-service (client pays nothing upfront — the only honest offer for a pre-bankable chemistry, and it prices in our siting advantage). First scale project (2027–28) is a Polish capacity-market SPV — a 15-yr indexed contract with PSE underwrites project debt, so the technology proves itself on infrastructure-grade revenue. Direct system sales open after certification + fleet data (Series A), and licensing stays a Series B+ option for markets we won't enter directly. We never fight LFP where it is already cheap and bankable — we let the cycle budget and fire-safety premium pay for the entry.

Target-market prioritisation & revenue-support schemes

MarketPriorityAnchor use-case Revenue-support scheme / policy

Model assumptions & notes

Source model: internal "Aqueous Flow Battery Market Analysis" + 8-market BESS profitability model (real DE balancing data regelleistung.net 2021–25 · Energy-Charts/Fraunhofer ISE · Modo Energy · ERCOT SoM 2024 · Wood Mackenzie / BloombergNEF · Dentons "BESS in Poland" 2025) + market-readiness audit. Figures are directional and tunable — raw model, Python simulations & sources under NDA. ·